ChillsDB: A Gold Standard for Aesthetic Chills Stimuli

Felix Schoeller; Abhinandan Jain; Adam Haar Horowitz; Grace Yan; Xiaoxiao Hu; Pattie Maes; Roy Salomon

doi:10.1038/s41597-023-02064-8

ChillsDB: A Gold Standard for Aesthetic Chills Stimuli

Felix Schoeller, Abhinandan Jain, Adam Haar Horowitz, Grace Yan, Xiaoxiao Hu, Pattie Maes, Roy Salomon

Research output: Contribution to journal › Article › peer-review

Abstract

We introduce ChillsDB the first validated database of audiovisual stimuli eliciting aesthetic chills (goosebumps, psychogenic shivers) in a US population. To discover chills stimuli “in the wild”, we devised a bottom-up, ecologically-valid method consisting in searching for mentions of the emotion’ somatic markers in user comments throughout social media platforms (YouTube and Reddit). We successfully captured 204 chills-eliciting videos of three categories: music, film, and speech. We then tested the top 50 videos in the database on 600+ participants and validated a gold standard of 10 stimuli with a 0.9 probability of generating chills. All ChillsDB tools and data are fully available on GitHub for researchers to be able to contribute and perform further analysis.

Original language	English
Article number	307
Journal	Scientific data
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41597-023-02064-8
State	Published - 20 May 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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10.1038/s41597-023-02064-8

Cite this

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ChillsDB: A Gold Standard for Aesthetic Chills Stimuli

Abstract

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